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An interactive fuzzy satisficing method for general multiobjective 0-1 programming problems through genetic algorithms with double strings based on a reference solution

机译:基于参考解的双字符串遗传算法求解通用多目标0-1规划问题的交互式模糊满足方法

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摘要

In this paper, focusing on general multiobjective 0-1 programming problems involving positive and negative coefficients, we proopose an interactive fuzzy satisficing method by extending our previous genetic algorithms with double strings for multiobjective multidimensional 0-1 knapsack problems in the extended genetic algorithms, a new decoding algorithm for individuals represented by double strings with maps each individual to a feasible solution is proposed through the introduction of backtracking and individual modification.
机译:在本文中,针对涉及正负系数的一般多目标0-1规划问题,我们通过扩展双遗传算法将先前的遗传算法扩展为扩展遗传算法中的多目标多维0-1背包问题,提出了一种交互式模糊满足方法。通过引入回溯和个体修改,提出了一种新的双字符串代表个体的解码算法,该个体将每个个体映射到一个可行的解决方案。

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